Multiple logistic regression model of signalling practices of drivers on urban highways

Giving signal is a way of informing other road users, especially to the conflicting drivers, the intention of a driver to change his/her movement course. Other users are exposed to hazard situation and risks of accident if the driver who changes his/her course failed to give signal as required. This...

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Main Authors: Che Puan, Othman, Ibrahim, Muttaka Na'iya, Zakaria, Rozana
Format: Conference or Workshop Item
Published: 2015
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Online Access:http://eprints.utm.my/id/eprint/59387/
http://dx.doi.org/10.1063/1.4915832
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Institution: Universiti Teknologi Malaysia
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spelling my.utm.593872021-12-14T08:04:24Z http://eprints.utm.my/id/eprint/59387/ Multiple logistic regression model of signalling practices of drivers on urban highways Che Puan, Othman Ibrahim, Muttaka Na'iya Zakaria, Rozana TA Engineering (General). Civil engineering (General) Giving signal is a way of informing other road users, especially to the conflicting drivers, the intention of a driver to change his/her movement course. Other users are exposed to hazard situation and risks of accident if the driver who changes his/her course failed to give signal as required. This paper describes the application of logistic regression model for the analysis of driver's signalling practices on multilane highways based on possible factors affecting driver's decision such as driver's gender, vehicle's type, vehicle's speed and traffic flow intensity. Data pertaining to the analysis of such factors were collected manually. More than 2000 drivers who have performed a lane changing manoeuvre while driving on two sections of multilane highways were observed. Finding from the study shows that relatively a large proportion of drivers failed to give any signals when changing lane. The result of the analysis indicates that although the proportion of the drivers who failed to provide signal prior to lane changing manoeuvre is high, the degree of compliances of the female drivers is better than the male drivers. A binary logistic model was developed to represent the probability of a driver to provide signal indication prior to lane changing manoeuvre. The model indicates that driver's gender, type of vehicle's driven, speed of vehicle and traffic volume influence the driver's decision to provide a signal indication prior to a lane changing manoeuvre on a multilane urban highway. In terms of types of vehicles driven, about 97% of motorcyclists failed to comply with the signal indication requirement. The proportion of non-compliance drivers under stable traffic flow conditions is much higher than when the flow is relatively heavy. This is consistent with the data which indicates a high degree of non-compliances when the average speed of the traffic stream is relatively high. 2015 Conference or Workshop Item PeerReviewed Che Puan, Othman and Ibrahim, Muttaka Na'iya and Zakaria, Rozana (2015) Multiple logistic regression model of signalling practices of drivers on urban highways. In: International Conference on Mathematics, Engineering and Industrial Applications, ICoMEIA 2014, 28 - 30 May 2014, Penang, Malaysia. http://dx.doi.org/10.1063/1.4915832
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Che Puan, Othman
Ibrahim, Muttaka Na'iya
Zakaria, Rozana
Multiple logistic regression model of signalling practices of drivers on urban highways
description Giving signal is a way of informing other road users, especially to the conflicting drivers, the intention of a driver to change his/her movement course. Other users are exposed to hazard situation and risks of accident if the driver who changes his/her course failed to give signal as required. This paper describes the application of logistic regression model for the analysis of driver's signalling practices on multilane highways based on possible factors affecting driver's decision such as driver's gender, vehicle's type, vehicle's speed and traffic flow intensity. Data pertaining to the analysis of such factors were collected manually. More than 2000 drivers who have performed a lane changing manoeuvre while driving on two sections of multilane highways were observed. Finding from the study shows that relatively a large proportion of drivers failed to give any signals when changing lane. The result of the analysis indicates that although the proportion of the drivers who failed to provide signal prior to lane changing manoeuvre is high, the degree of compliances of the female drivers is better than the male drivers. A binary logistic model was developed to represent the probability of a driver to provide signal indication prior to lane changing manoeuvre. The model indicates that driver's gender, type of vehicle's driven, speed of vehicle and traffic volume influence the driver's decision to provide a signal indication prior to a lane changing manoeuvre on a multilane urban highway. In terms of types of vehicles driven, about 97% of motorcyclists failed to comply with the signal indication requirement. The proportion of non-compliance drivers under stable traffic flow conditions is much higher than when the flow is relatively heavy. This is consistent with the data which indicates a high degree of non-compliances when the average speed of the traffic stream is relatively high.
format Conference or Workshop Item
author Che Puan, Othman
Ibrahim, Muttaka Na'iya
Zakaria, Rozana
author_facet Che Puan, Othman
Ibrahim, Muttaka Na'iya
Zakaria, Rozana
author_sort Che Puan, Othman
title Multiple logistic regression model of signalling practices of drivers on urban highways
title_short Multiple logistic regression model of signalling practices of drivers on urban highways
title_full Multiple logistic regression model of signalling practices of drivers on urban highways
title_fullStr Multiple logistic regression model of signalling practices of drivers on urban highways
title_full_unstemmed Multiple logistic regression model of signalling practices of drivers on urban highways
title_sort multiple logistic regression model of signalling practices of drivers on urban highways
publishDate 2015
url http://eprints.utm.my/id/eprint/59387/
http://dx.doi.org/10.1063/1.4915832
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